5 Etl Engineer jobs in Egypt
Data Engineering Senior
DXC Technology
Posted today
Job Viewed
Job Description
**Job Summary**
The Data Engineer will develop, implement & test programs and scripts to automate tasks and data processing as well as utilize SQL for operation use. Responsibilities include performing data analysis, managing and monitoring data security & document procedures and best practices.
**Duties and Responsibilities**
- Optimize and enhance data processing performance by identifying and resolving performance issues.
- Develop, implement & test scripts and programs in Python to automate data processing and analysis tasks.
- Utilize complex SQL for data extraction, manipulation, transformation, loading, optimizing performance and efficiency.
- Design, model and optimize data models and data structure for efficient reporting analysis, data visualization and data sharing.
- Perform data analysis and profiling to identify data quality issues anomalies and opportunities for improvement.
- Participate in managing and monitoring data security and access anomalies.
- Document and keep up to date procedures and best practices related to Python, libraries, algorithms, and related data processing technologies and propose innovative solutions.
**Requirements and Qualifications**
- Degree in computer science, data engineering, statistics/mathematics, or a related field. (Master's degree preferred).
- ** Strong experience in designing** **developing and managing databases in Python, including creating data schemas, tables, complex SQL queries, and algorithms.
- In-depth knowledge of data security and compliance best practices using Python
- Experience in optimizing scripts/programs/algorithms SQL queries and resolving performance issues.
- Excellent communication skills and the ability to work collaboratively in a team-oriented environment.
- Relevant certifications in Python are a plus.
- Fluent in written and spoken English and Arabic
- Understand and have worked with the government, and enterprises to implement analytical projects using Python.
- Process good analytical, and troubleshooting skills.
- Comfortable working in an agile dynamic environment.
- Team player with strong communication skills who realizes that excellence can only be achieved as a team.
- Conscious of your role and understand how the value chain and business processes work.
- Combine intellectual curiosity with creativity to turn bright ideas into brighter solutions.
- ** Please read the Job Description very well before applying
The Data Engineer will develop, implement & test programs and scripts to automate tasks and data processing as well as utilize SQL for operation use. Responsibilities include performing data analysis, managing and monitoring data security & document procedures and best practices.
**Duties and Responsibilities**
- Optimize and enhance data processing performance by identifying and resolving performance issues.
- Develop, implement & test scripts and programs in Python to automate data processing and analysis tasks.
- Utilize complex SQL for data extraction, manipulation, transformation, loading, optimizing performance and efficiency.
- Design, model and optimize data models and data structure for efficient reporting analysis, data visualization and data sharing.
- Perform data analysis and profiling to identify data quality issues anomalies and opportunities for improvement.
- Participate in managing and monitoring data security and access anomalies.
- Document and keep up to date procedures and best practices related to Python, libraries, algorithms, and related data processing technologies and propose innovative solutions.
**Requirements and Qualifications**
- Degree in computer science, data engineering, statistics/mathematics, or a related field. (Master's degree preferred).
- ** Strong experience in designing** **developing and managing databases in Python, including creating data schemas, tables, complex SQL queries, and algorithms.
- In-depth knowledge of data security and compliance best practices using Python
- Experience in optimizing scripts/programs/algorithms SQL queries and resolving performance issues.
- Excellent communication skills and the ability to work collaboratively in a team-oriented environment.
- Relevant certifications in Python are a plus.
- Fluent in written and spoken English and Arabic
- Understand and have worked with the government, and enterprises to implement analytical projects using Python.
- Process good analytical, and troubleshooting skills.
- Comfortable working in an agile dynamic environment.
- Team player with strong communication skills who realizes that excellence can only be achieved as a team.
- Conscious of your role and understand how the value chain and business processes work.
- Combine intellectual curiosity with creativity to turn bright ideas into brighter solutions.
- ** Please read the Job Description very well before applying
This advertiser has chosen not to accept applicants from your region.
0
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
As a Data Engineer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world's technology leader. Come to IBM and make a global impact!
**Your role and responsibilities**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
As a Data Engineer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world's technology leader. Come to IBM and make a global impact!
**Your role and responsibilities**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
1
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
2
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 9 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Preferred technical and professional experience**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Preferred technical and professional experience**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
3
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 25 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Preferred technical and professional experience**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Preferred technical and professional experience**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Etl engineer Jobs in Egypt !
4